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JPMorgan Director Architecture - AI/ML 
United States, New Jersey, Jersey City 
928187251

18.12.2024

Job Responsibilities

  • Engage with business stakeholders to refine requirements, assist with framing business problems as machine learning problems, and help define success metrics
  • Define appropriate data engineering processes to facilitate data preparation and feature engineering
  • Collaborate with data scientists and data and ML engineers in selecting and evaluating ML models and algorithms using factors such as accuracy, scalability, interpretability, etc.
  • Develop end-to-end AI/ML solutions in compliance with and leveraging firm’s policies, standards, and AI/ML governance processes
  • Provide technical leadership throughout the entire machine learning lifecycle, in collaboration with architecture, security, risk, operations, and other partner organizations
  • Design and lead proof-of-concepts, commercial product evaluations, and custom solutions

Required qualifications, capabilities, and skills

  • Formal training or certification on software architecture and machine learning systems concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Bachelor’s degree or higher in computer science, data science, information systems, or electrical engineering
  • Experience with core machine learning algorithms, deep neural networks, NLP, and LLMs/SLMs.
  • Advanced knowledge of software architecture and development for machine learning systems with hands on experience throughout the entire machine learning lifecycle.
  • Deep understanding and hands-on experience with public cloud technologies, especially with AWS & its machine learning stack
  • Working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools & techniques.
  • Significant experience with one or more programming languages, at least Python and Java, and DevOps processes and tools such as Containers, Iac, CI/CD, etc.

Preferred qualifications, capabilities and skills

  • Azure OpenAI experience would be a strong plus